PMUT: a web-based tool for the annotation of pathological mutations on proteins

By Carles Ferrer-Costa, J. Gelpí, Leire Zamakola, I. Parraga, X. Cruz, M. Orozco. Bioinform., 2005

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Testing for an Unusual Distribution of Rare Variants (2011, methodology): “Many computational tools classifying coding variants regarding impact on protein function are already published In Silico Funcitonal Profiling [24] POLYPHEN [25], SIFT [26], SNPs3D [27], and Pmut [28].”
Leber congenital amaurosis: genes, proteins and disease mechanisms. (2008, methodology): “, 2002), SIFT (Ng and Henikoff, 2003), PMut (Ferrer-Costa et al., 2005), and homology modeling (Krieger et al.”
The Role of Balanced Training and Testing Data Sets for Binary Classifiers in Bioinformatics (2013, background): “Finally, programs using other methods such as a Random Forest (SeqSubPred [72] and nsSNPAnalyzer [3]), a doi:10.1371/journal.pone.0067863.g003 PLOS ONE | www.plosone.org 9 July 2013 | Volume 8 | Issue 7 | e67863 neural network (PMut [2,43,44]), and empirical rules (PolyPhen2 [73]) also did not addre”
Performance of mutation pathogenicity prediction methods on missense variants (2011, background): “PMut [Ferrer-Costa et al., 2005] could not be tested because the server did not return predictions.”